@Article{GMMMF22,
  author       = "Gaggion, N. and Mansilla, L. and Mosquera, C. and Milone, D. H. and Ferrante, E.",
  title        = "Improving anatomical plausibility in medical image segmentation via hybrid graph neural networks: applications to chest x-ray analysis",
  journal      = "IEEE Transactions on Medical Imaging",
  year         = "2022",
  url          = "http://sinc.unl.loc/sinc/sinc-publications/2022/GMMMF22"
}
@Article{GVMF22,
  author       = "Gaggion, N. and Vakalopoulou, M. and Milone, D. H. and Ferrante, E.",
  title        = "Multi-center anatomical segmentation with heterogeneous labels via landmark-based models",
  journal      = "arXiv preprint arXiv:2211.07395",
  year         = "2022",
  url          = "http://sinc.unl.loc/sinc/sinc-publications/2022/GVMF22"
}
@Article{GADLLRCMCBF21,
  author       = "Gaggion, N. and Ariel, F. and Daric, V. and Lambert, É. and Legendre, S. and Roulé, T. and Camoirano, A. and Milone, D. H. and Crespi, M. and Blein, T. and Ferrante, E.",
  title        = "ChronoRoot: High-throughput phenotyping by deep segmentation networks reveals novel temporal parameters of plant root system architecture",
  journal      = "GigaScience",
  number       = "7",
  volume       = "10",
  year         = "2021",
  url          = "http://sinc.unl.loc/sinc/sinc-publications/2021/GADLLRCMCBF21"
}
@InProceedings{GMMF21a,
  author       = "Gaggion, N. and Mansilla, L. and Milone, D. H. and Ferrante, E.",
  title        = "Hybrid Graph Convolutional Neural Networks for Landmark-Based Anatomical Segmentation",
  booktitle    = "Medical Image Computing and Computer Assisted Intervention -- MICCAI 2021",
  pages        = "600--610",
  year         = "2021",
  publisher    = "Springer International Publishing",
  url          = "http://sinc.unl.loc/sinc/sinc-publications/2021/GMMF21a"
}